115 lines
3.2 KiB
Python
115 lines
3.2 KiB
Python
#!/usr/bin/env python
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# coding=utf-8
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"""
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@author: CNWei,ChenWei
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@Software: PyCharm
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@contact: t6g888@163.com
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@file: test
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@date: 2026/1/14 10:12
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@desc:
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"""
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# import pytest
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from enum import Enum
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from typing import TypeVar
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from utils.logger import logger, trace_step
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# --- 模拟业务逻辑 ---
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class ServiceRole(Enum):
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MANAGED = "受控模式"
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EXTERNAL = "共享模式"
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NULL = "无效模式"
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class AppiumService:
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def __init__(self, device_id: str, role: ServiceRole):
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self.device_id = device_id
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self.role = role
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# 使用 bind 为该实例的所有日志绑定特定的设备 ID
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self._log = logger.bind(source=f"Dev:{device_id}")
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@trace_step(step_desc="停止服务", source="Appium")
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def stop(self, force=False):
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"""演示类方法追踪及逻辑分支"""
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self._log.info(f"正在尝试停止服务，强制模式={force}")
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if self.role == ServiceRole.EXTERNAL:
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self._log.warning("外部服务，跳过清理进程")
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return "SKIPPED"
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if self.role == ServiceRole.MANAGED:
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self._log.success("已发送 SIGTERM 信号清理进程")
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return "SUCCESS"
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raise RuntimeError("无法停止处于未知状态的服务")
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@trace_step("简单打印")
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def simple_log(self, msg: str):
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self._log.info(f"消息回显: {msg}")
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# --- 独立函数演示 ---
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@trace_step("执行数据计算", source="Calc")
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def calculate_data(a: int, b: int):
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if b == 0:
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raise ZeroDivisionError("除数不能为 0")
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return a / b
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@trace_step("空值返回测试")
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def return_none():
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return None
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# --- 测试场景覆盖 ---
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def run_scenarios():
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print("\n" + "=" * 50)
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print("🚀 开始执行全场景日志覆盖测试")
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print("=" * 50 + "\n")
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# 1. 覆盖：正常类方法调用 (过滤 self)
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logger.info(">>> 场景 1: 正常类方法 (MANAGED 模式)")
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svc1 = AppiumService("emulator-5554", ServiceRole.MANAGED)
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svc1.stop(force=True)
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# 2. 覆盖：类方法不同返回值
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logger.info(">>> 场景 2: 共享模式跳过清理")
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svc2 = AppiumService("iPhone_15", ServiceRole.EXTERNAL)
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svc2.stop()
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# 3. 覆盖：异常捕获 (自动记录错误日志并向上抛出)
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logger.info(">>> 场景 3: 异常捕获测试")
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try:
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calculate_data(10, 0)
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except ZeroDivisionError:
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logger.warning("主流程已捕获预期的计算异常")
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# 4. 覆盖：复杂参数与 None 返回
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logger.info(">>> 场景 4: 复杂参数与 None 返回")
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return_none()
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# 5. 覆盖：未定义状态导致的崩溃
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logger.info(">>> 场景 5: 业务逻辑崩溃测试")
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svc3 = AppiumService("Unknown_Device", ServiceRole.NULL)
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try:
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svc3.stop()
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except Exception as e:
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logger.error(f"捕获到业务逻辑崩溃:{e}")
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# 6. 覆盖：原生 logger 与装饰器 logger 混合
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logger.info(">>> 场景 6: 验证自定义 source 标签")
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# 这里会使用 setup_logger 中定义的默认 'System' 标签
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logger.debug("这是一条调试级别的原始日志")
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print("\n" + "=" * 50)
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print("✅ 测试场景执行完毕，请检查 logs 文件夹中的 .log 文件")
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print("=" * 50)
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if __name__ == "__main__":
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run_scenarios() |